Merge pull request #9411 from dashesy/add_sql_test

test sql table name

Author: jorisvandenbossche

doc/source/io.rst

@@ -3368,7 +3368,8 @@ The key functions are:
     The function :func:`~pandas.read_sql` is a convenience wrapper around
     :func:`~pandas.read_sql_table` and :func:`~pandas.read_sql_query` (and for
     backward compatibility) and will delegate to specific function depending on
-    the provided input (database table name or sql query).
+    the provided input (database table name or sql query). 
+    Table names do not need to be quoted if they have special characters.
 
 In the following example, we use the `SQlite <http://www.sqlite.org/>`__ SQL database
 engine. You can use a temporary SQLite database where data are stored in

pandas/io/tests/test_sql.py

@@ -6,7 +6,7 @@
 - Tests for the public API (only tests with sqlite3)
     - `_TestSQLApi` base class
     - `TestSQLApi`: test the public API with sqlalchemy engine
-    - `TesySQLiteFallbackApi`: test the public API with a sqlite DBAPI connection
+    - `TestSQLiteFallbackApi`: test the public API with a sqlite DBAPI connection
 - Tests for the different SQL flavors (flavor specific type conversions)
     - Tests for the sqlalchemy mode: `_TestSQLAlchemy` is the base class with
       common methods, the different tested flavors (sqlite3, MySQL, PostgreSQL)
@@ -1676,13 +1676,14 @@ def test_illegal_names(self):
             flavor=self.flavor)
 
         for ndx, weird_name in enumerate(['test_weird_name]','test_weird_name[',
-            'test_weird_name`','test_weird_name"', 'test_weird_name\'']):
+            'test_weird_name`','test_weird_name"', 'test_weird_name\'', 
+            '_b.test_weird_name_01-30', '"_b.test_weird_name_01-30"']):
             df.to_sql(weird_name, self.conn, flavor=self.flavor)
             sql.table_exists(weird_name, self.conn)
 
             df2 = DataFrame([[1, 2], [3, 4]], columns=['a', weird_name])
             c_tbl = 'test_weird_col_name%d'%ndx
-            df.to_sql(c_tbl, self.conn, flavor=self.flavor)
+            df2.to_sql(c_tbl, self.conn, flavor=self.flavor)
             sql.table_exists(c_tbl, self.conn)